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Roxanne Moslehi authored
## What changes were proposed in this pull request?

Updated the description for the `format_number` description to indicate that it uses `HALF_EVEN` rounding. Updated the description for the `round` description to indicate that it uses `HALF_UP` rounding.

## How was this patch tested?

Just changing the two function comments so no testing involved.

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: Roxanne Moslehi <rmoslehi@palantir.com>
Author: roxannemoslehi <rmoslehi@berkeley.edu>

Closes #17399 from roxannemoslehi/patch-1.
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README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.